Python interview practice
Master Python interview questions on language fundamentals, OOP, data structures, and advanced concepts. Practice with an AI interviewer that scores clarity, depth, and answer structure — and tells you exactly what to fix.
Python questions to practice saying out loud
Reading answers isn’t practice. Use these as your warm-up, then run a scored interview and hear yourself answer them.
What are Python generators?
Generators are functions that use yield to return values lazily, one at a time. They're memory-efficient for large datasets as they don't store the entire sequence in memory.
Explain Python's memory management.
Python uses a private heap for object storage, reference counting for garbage collection, and a cyclic garbage collector for detecting and collecting reference cycles. Memory pools (pymalloc) optimize small object allocation.
What is the difference between deep and shallow copy?
Shallow copy creates a new object but inserts references to the original's nested objects. Deep copy recursively copies all nested objects, creating completely independent copies.